BeOpen

BeOpen is about enabling the development of new digital and AI services by facilitating access to and use of EU Public Sector High Value Datasets

Countries involved

6

 

 

Project website

BeOpen seeks to provide an integrated framework, tailored for public administrations, composed of technical tools, methodologies and guidelines to improve overall open data quality, interoperability and availability of High Value Datasets. The BeOpen framework will be built on results coming from four CEF projects that focus their activities on different aspect of open data management; these are INTERSTAT (data interoperability and cross border services based on open data), Spotted (access and processing of Earth Observation data), GreenMov (management of mobility related data), and ODALA (data management for cities and data market), as well as on the guiding principles stated in the Living-in.EU declaration1, with particular attention to the technologies as key enablers and interoperable digital platforms based on open standards and technical specifications, Application Programming Interfaces (APIs) and shared data models. The BeOpen framework will include open source tools, replicable data pipelines and ontologies, and best practices to (1) perform open data collection, curation, semantic annotation, data and metadata harmonization (according to DCAT-AP), (2) publish in machine-readable format (in bulk or via APIs) public open data also in compliance with the European Data Portal (https://data.europa.eu/), allowing it to automatically harvest the datasets. The solution will provide to Public Administration a customizable and easy to use ‘tool box’ to manage High Value Datasets and make them available via APIs or for bulk download in order to be reused by any interested stakeholder, and to allow the publication on National Open Data Portals. On the other hand, the framework will include tools that aim at facilitating companies as SMEs, start-ups, industries, as well as public organization to access and use High Value Datasets, integrating different open datasets including the ones published by the Public Administration and the ones already available at European level (e.g. satellite images coming from Earth observation services as Copernicus, statistics provided by Eurostat, etc.), supporting the implementation of EU-wide digital service, but in particular AI applications. From an overall perspective, the framework will allow to support the whole pipeline of the open data lifecycle with the final aim of improving the potential of existing and new open data datasets maximizing their value in building IT services. The aim is also to provide to PA a framework that can minimize the cost of the data curation activities that usually require a lot of effort and competences to be performed. Moreover, the framework aims to build a thriving ecosystem of private actors to generate both economic and societal value from data, whilst ensuring that privacy, security, safety and ethical standards are adequately and appropriately adhered to.

BeOpen is about enabling the development of new digital and AI services by facilitating access to and use of EU Public Sector High Value Datasets

The aim of BeOpen is to facilitate organisations and public entities to re-use Open Data across the EU for the development of information products and services.

The overall BeOpen framework will be applied in 8 real-life pilots across 6 countries, it is all about using regional datasets. 

Sustainable introduction of LED lighting and its health impact

Molina de Segura, Spain

Adoption of a common model based on NGSI-LD. Merge of datasets related to health issues and accidents with datasets related to lighting and colour temperature in streets. Identification of potential data quality issues and anonymization of these datasets containing private data.

Climate change mitigation actions: Urban Heat Islands and Heatwaves

Cartagena, Molina de Segura, Torre Pacheco, Spain

Data annotation and adoption of smart data models and NGSI-LD to enable the correlation among the different seasons with peaks of temperature. Fusion of environmental and green zones data (irrigation, new gardens, vertical gardens, new shadow areas) and improvement of data quality.

Supporting first responders assessing the impact of incidents with urban mobility data

Porto, Portugal

Dataset of incidents with data concerning predicted ones and their impact on urban mobility services, harmonised with standard formats. Enriched incident dataset with semantic interoperability leveraging NGSI-LD. Integrate incident dataset on the environment, mobility, and infrastructure.

Sosnowsky's hogweed and other invading species detection and projected expansion

Vilnius, Lithuania

Increased data accuracy, and improved data accessibility and discoverability by adopting common semantic and ontologies for linked data (to create relations among geographic datasets, e.g. map layers). The goal is to detect invading species and relative spread prediction.

Integrating Mobility Data and Urban Environment Information for Decision Making

Napoli, Italy

Policy makers will gain access to interoperable data, with a marked improvement on options of open data collection, dispersed in Public Administration websites. Increased interoperability and accessibility through the adoption of standard format.

Creating a “shield” from natural disasters for Attica region’s citizens and environment

Attica, Greece

Availability of multimodal data fusion methodology that combines EO and non-EO data for detecting air quality events, as happenings in the region of Attica that are expressed by unusual behaviour in particular data streams.

Improving AI-Tools for street management investments by using high value dataset

Herne, Germany

Availability of high value datasets that will improve street management of crowded events. By the adoption of NSGI-LD as a common format for data to increase interoperability and reusability, the data improvements would be the linkage of static and dynamic datasets.

Urban security in historical city with key critical infrastructure

Cartagena, Molina de Segura, Torre Pacheco, Spain

Increased data quality using the IEEE P2510 protocol for environmental datasets (e.g. related to gases). Data contextualization and fusion/merge by using NGSI-LD to link environmental datasets (e.g. related to sounds and noise) and mobility related datasets.

Sustainable introduction of LED lighting and its health impact

Molina de Segura, Spain

Adoption of a common model based on NGSI-LD. Merge of datasets related to health issues and accidents with datasets related to lighting and colour temperature in streets. Identification of potential data quality issues and anonymization of these datasets containing private data.

Climate change mitigation actions: Urban Heat Islands and Heatwaves

Cartagena, Molina de Segura, Torre Pacheco, Spain

Data annotation and adoption of smart data models and NGSI-LD to enable the correlation among the different seasons with peaks of temperature. Fusion of environmental and green zones data (irrigation, new gardens, vertical gardens, new shadow areas) and improvement of data quality.

Supporting first responders assessing the impact of incidents with urban mobility data

Porto, Portugal

Dataset of incidents with data concerning predicted ones and their impact on urban mobility services, harmonised with standard formats. Enriched incident dataset with semantic interoperability leveraging NGSI-LD. Integrate incident dataset on the environment, mobility, and infrastructure.

Sosnowsky's hogweed and other invading species detection and projected expansion

Vilnius, Lithuania

Increased data accuracy, and improved data accessibility and discoverability by adopting common semantic and ontologies for linked data (to create relations among geographic datasets, e.g. map layers). The goal is to detect invading species and relative spread prediction.

Integrating Mobility Data and Urban Environment Information for Decision Making

Napoli, Italy

Policy makers will gain access to interoperable data, with a marked improvement on options of open data collection, dispersed in Public Administration websites. Increased interoperability and accessibility through the adoption of standard format.

Creating a “shield” from natural disasters for Attica region’s citizens and environment

Attica, Greece

Availability of multimodal data fusion methodology that combines EO and non-EO data for detecting air quality events, as happenings in the region of Attica that are expressed by unusual behaviour in particular data streams.

Improving AI-Tools for street management investments by using high value dataset

Herne, Germany

Availability of high value datasets that will improve street management of crowded events. By the adoption of NSGI-LD as a common format for data to increase interoperability and reusability, the data improvements would be the linkage of static and dynamic datasets.

Urban security in historical city with key critical infrastructure

Cartagena, Molina de Segura, Torre Pacheco, Spain

Increased data quality using the IEEE P2510 protocol for environmental datasets (e.g. related to gases). Data contextualization and fusion/merge by using NGSI-LD to link environmental datasets (e.g. related to sounds and noise) and mobility related datasets.

Societal Challenges

Skills & Jobs

Farming & Food

Climate & Sustainability

Health, Care & Cure

Inclusion

Resilience

Safety & Security

Mobility & Logistics

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